Application Programming Interfaces (APIs) have revolutionized connectivity and data sharing, but their pervasiveness has also created a new set of cybersecurity challenges. As businesses continually expand and update their applications, they often overlook APIs left behind by developers — shadow and zombie APIs — that continue to operate undetected. These abandoned APIs become silent risks, operating in the background, unknown to most security teams, and they can pose serious security threats.

Security is often seen as a roadblock in development, slowing releases and adding friction between teams. However, as software development cycles become faster and more complex, security must evolve from a blocker to an innovation driver. DevSecOps ensures security is a core part of the development workflow, and automation plays a crucial role in making this integration smooth and effective.

Any app collecting, processing, or storing protected health information (PHI) must be HIPAA-compliant to ensure ongoing operation without regulatory setbacks. This means that if your organization operates in the health tech industry, it must adhere to the requirements mandated by the regulation. ‍ Due to HIPAA’s broad scope and interpretative nature, the requirements may seem challenging without a clear compliance roadmap, leading to inefficient workflows and incomplete adherence to the rules.

With hybrid and remote work now the norm, organizations face an urgent challenge – how to provide employees with seamless, secure access to critical applications without the performance and security drawbacks of traditional VPNs. At WatchGuard, we recognize that businesses need a modern, scalable security solution that meets the demands of a distributed workforce.

AI code generation is exactly what it sounds like — using artificial intelligence to write and improve code. Tools powered by large language models (LLMs) and specialized AI systems can help developers generate boilerplate code, fix bugs, and even refactor entire sections of an application. And developers are leaning in. According to a GitHub survey, 92% of developers have already used AI coding tools at work or on personal projects.

The NIST Cybersecurity Framework (CSF) 2.0 is a voluntary framework developed by the National Institute of Standards and Technology (NIST) to help organizations manage and reduce cybersecurity risks. Initially released in 2014, CSF was primarily intended for critical infrastructure sectors. However, CSF 2.0 (2024) expands its scope to include organizations of all sizes and sectors, including small businesses, nonprofits, and large corporations.

In the realm of cybersecurity, perception often diverges from reality. A common misconception is that nation-state cybercriminals primarily target the United States. However, recent evidence suggests a more ubiquitous threat landscape, with significant activities targeting the UK, Australia and other regions globally. The notion that certain countries are immune to sophisticated cyberattacks is not just outdated—it's dangerous.